Jacqueline M. Achkar
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology 35
- Microbiology top 2%
- Epidemiology top 2%
- Mycobacterium research and diagnosis 26
- Pneumocystis jirovecii pneumonia detection and treatment 8
- Immunology top 5%
- Immunodeficiency and Autoimmune Disorders 9
- Virology top 5%
- HIV Research and Treatment 7
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- Infectious Diseases and Tuberculosis 8
- Diagnosis and treatment of tuberculosis 7
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- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Bettina C. FriesArturo CasadevallJohn ChanRafael Prados‐RosalesUlrich E. SchaibleW. Henry BoomVictoria KasprowiczYong Chen
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (3 papers)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Jacqueline M. Achkar
55 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Infectious Diseases 1.6k
- Microbiology 262
- Epidemiology 1.1k
- Immunology 588
- Virology 128
Countries citing papers authored by Jacqueline M. Achkar
This map shows the geographic impact of Jacqueline M. Achkar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jacqueline M. Achkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline M. Achkar more than expected).
Fields of papers citing papers by Jacqueline M. Achkar
This network shows the impact of papers produced by Jacqueline M. Achkar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jacqueline M. Achkar. The network helps show where Jacqueline M. Achkar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacqueline M. Achkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 13 | |
| 4 | 2022 | 18 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 89 | |
| 8 | 2018 | 3 | |
| 9 | 2017 | 22 | |
| 10 | 2016 | 108 | |
| 11 | 2015 | 19 | |
| 12 | 2013 | 37 | |
| 13 | 2013 | 146 | |
| 14 | 2012 | 11 | |
| 15 | 2011 | 59 | |
| 16 | 2009 | 11 | |
| 17 | 2008 | 43 | |
| 18 | 2006 | 40 | |
| 19 | 2004 | 38 | |
| 20 | 2000 | 6 |
About Jacqueline M. Achkar
Jacqueline M. Achkar is a scholar working on Infectious Diseases, Virology and Epidemiology, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (35 papers), Mycobacterium research and diagnosis (26 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (8 papers), Infectious Diseases and Tuberculosis (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), HIV Research and Treatment (7 papers) and Diagnosis and treatment of tuberculosis (7 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Microbiology (262 citations) and Epidemiology (1.1k citations). Jacqueline M. Achkar has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Bettina C. Fries, Arturo Casadevall, John Chan, Rafael Prados‐Rosales, Ulrich E. Schaible, W. Henry Boom, Victoria Kasprowicz, Yong Chen, JoAnne L. Flynn and Sushma Bharrhan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.